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Data Science

Location:
Seattle, Washington, United States
Posted:
January 24, 2018

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Suchitra Sundararaman

Seattle, WA ***** ac35wi@r.postjobfree.com +1(206) ***-**** LinkedIn

SUMMARY OF QUALIFICATIONS

Data enthusiast passionate about predictive analytics, weaving data stories, problem solving and impacting the business.

An effective competent speaker with an ability to clearly and concisely communicate with clients/peers/stakeholders.

Technical Skills: R, Python, Java, Hadoop, Spark, MySql, HTML, CSS, JavaScript, AngularJS, ETL.

Tools: Hive, Impala, AWS, Amazon Redshift, Tableau, Power BI, IBM Watson, SharePoint, SSIS, SSAS.

EDUCATIONAL QUALIFICATION

UNIVERSITY OF WASHINGTON, INFORMATION SCHOOL, Seattle, United States Sep 2016-Jun 2018 (Anticipated)

Master of Science in Information Management - Data Science and Business Intelligence GPA: 3.82

UNIVERSITY OF MUMBAI, Mumbai, India Jun 2011-Jun 2015

Bachelor of Engineering- Electronics GPA: 3.80

WORK EXPERIENCE

Business Intelligence Developer Analyst Intern - SAP Concur, Seattle, United States June 2017-present

Designed and implemented a recommendation system to recommend product setup configurations to new on-boarding clients.

Improved Expense product adoption by analyzing and developing visualizations around product configuration and analyzing reports volume data.

Improved case resolution numbers by 12% by modeling new KPIs to identify latent deficiencies in customer cases workflow. Developed a Warning system dashboard to decrease resolution time, improve operations and impact client satisfaction.

Developed metric based real time reporting in Tableau by integrating data streams from Hadoop and Sql Server and gained hand-on experience in AWS.

Delivered a high impact analytical solution to provide visibility into team performances and targets achieved across the organization guiding critical decisions at the executive level.

Quality of Hire (Capstone Project) – Amazon, Seattle, United States Jan 2018-present

Developing a robust and scalable machine learning model to identify the quality of an existing hire at Amazon.

Building a recommendation engine to predict top potential hires for specific job families at Amazon.

Associate Software Engineer - Accenture, Avanade, Mumbai, India July 2015-July 2016

Developed Web applications for Avanade’s HR site utilizing Microsoft .NET and Microsoft SharePoint.

Embedded jQuery, HTML, CSS, JavaScript and ASP.NET to improve the functionality and front-end SharePoint Design.

AWARDS AND SCHOLARSHIPS

William E. Memorial Fellowship – University of Washington

Star Performer award – Accenture Services

ACADEMIC PROJECTS (GitHub)

Image Classification using Neural Networks:

Developed a convolutional Neural Network with an accuracy of 89% using TensorFlow and Keras library to classify fashion MNIST kaggle dataset containing article images.

Prediction model to diagnose diabetes:

Developed a prediction model using stochastic gradient descent algorithm with an accuracy of 99% to predict the onset of diabetes based on diagnostic measurements.

Performed statistical comparison between linear and logistic regression model basis model accuracy.

Twitter Sentiment Analysis:

Performed text mining and sentiment analysis using natural language processing(NLP) to understand people’s emotions behind Pepsi/Kendall Jenner ad.

Human Resource Analytics:

Analyzed the relationship between various factors that result in employee attrition by using data exploration and visualization techniques.

Developed a statistical model to predict employee churn in a company. Implemented logistic regression, decision trees, random forest models and compared the results.

Strategic data insights for enabling sales performance:

Built an end-to-end BI System to analyze sales history of a company and recommend a marketing strategy to improve performance.

Worked on MS Visio for data modeling, SSIS for automating ELT scripts, SSAS to build OLAP cube, T-SQL for data manipulation and Tableau for visualization. (Tableau Public )



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